calc_power: Power calculation for a given study design
In xyomics/bugpower: Generate power calculation report for microbiome data

Description Usage Arguments Details Value Author(s)

View source: R/power.R

calc_power calculates the power species and pathways.

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calc_power(N_sample = 200, N_covariate = 8, N_feature = 300,
  N_repeat = 1, conti_prop = 0.5, pos_prop = 0.2, contin = "continuous",
  increment = 0.005, q_cutoff = 0.05, quartile_sd, v_mean_transform)

`N_sample`	Number of subjects in the study. Integer.
`N_covariate`	Number of covariates in the study. Integer.
`N_feature`	Number of expected species or pathways. Integer.
`N_repeat`	Number of repeat measurements for each data set. Integer.
`conti_prop`	The proportion of continuous covariates. A number in [0,1]. Default is 0.5.
`pos_prop`	The proportion of species or pathways that are truely correlated with the covariate we are interested in. A number in [0,1]. Default is 0.2.
`contin`	The type of covariate we are interested. The type includeds "continous", "discrete" and "inter" (interaction). Strint. Default is "continuous".
`increment`	A small number to adjust the smoothness of the power curve. The smaller, the more smooth. Default is 0.005.
`q_cutoff`	The threshold for q value (p value after BH adjustment). A number in (0,1). Default is 0.05.
`quartile_sd`	Standard deviation quartiles
`v_mean_transform`	Transformed mean distribution